Answer:
income before extraordinary items
Answer:
C(100) = (75 x 100) + (200 x 100) = $27,500
Explanation:
the initial cost function of producing bikes is:
C(x) = 75F + 100W
the initial cost to produce 1 bike = $75 + $100 = $175
if the cost of wheels increase to $100 each, then the cost function is:
C(x) = 75F + 200W
in this case, there is not much to calculate since every bicycle must have 1 frame and 2 wheels, that means that in order to produce 100 bicycles you will necessarily need 100 frames and 200 wheels. Labor is not considered in this cost function, so any cost minimization strategy is limited to using the minimum amount of parts:
C(100) = (75 x 100) + (200 x 100) = $27,500
The proportion of the optimal risky portfolio that should be invested in stock A is 0%.
Using this formula
Stock A optimal risky portfolio=[(Wa-RFR )×SDB²]-[(Wb-RFR)×SDA×SDB×CC] ÷ [(Wa-RFR )×SDB²+(Wb-RFR)SDA²]- [(Wa-RFR +Wb-RFR )×SDA×SDB×CC]
Where:
Stock A Expected Return (Wa) =16%
Stock A Standard Deviation (SDA)= 18.0%
Stock B Expected Return (Wb)= 12%
Stock B Standard Deviation(SDB) = 3%
Correlation Coefficient for Stock A and B (CC) = 0.50
Risk Free rate of return(RFR) = 10%
Let plug in the formula
Stock A optimal risky portfolio=[(.16-.10)×.03²]-[(.12-.10)×.18×.03×0.50]÷ [(.16-.10 )×.03²+(.12-.10)×.18²]- [(.16-.10 +.12-.10 )×.18×.03×0.50]
Stock A optimal risky portfolio=(0.000054-0.000054)÷(0.000702-0.000216)
Stock A optimal risky portfolio=0÷0.000486×100%
Stock A optimal risky portfolio=0%
Inconclusion the proportion of the optimal risky portfolio that should be invested in stock A is 0%.
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Answer:
$0
Explanation:
The computation of the revenue recognized is shown below:
= Price per unit × number of units delivered in march month
= $15 × 0 units
= $0
Since 0 units delivered in the march month and if we multiplied the price per unit with the march units i.e. 0 so the answer should be zero only
Answer:
which appropriate cell , the question is not clear
